AI in Manufacturing is a topic of growing importance in many area such as smart manufacturing and Industry 4.0. This section presents references on on-going projects, pilot experiments in the field and initial results in that area.
Seven task leaders of the eight AI4EU pilots will present results, users’ experience and features of the experiment platform at a dedicated session “AI4EU in practice: the industrial pilots’ perspective” at the annual European Big Data Value Forum (EBDVF2...
A tutorial series from the AI in the Industry course from University of Bologna. This part covers anomaly detection via density estimation.
The library includes functionalities to apply reinforcement learning to industrial machines tuning
Open dataset of brushed DC motor faults for testing of AI algorithms
sunny-cp is a parallel portfolio solver for solving Constraint Satisfaction/Optimization Problems
Functions for training and evaluation of a stacked LSTM model to predict the time to produce a given item.
Flexible manufacturing represents a key element of the Industry 4.0 objective. Complete automation and possibility to quickly adapt production to various customer requirements will cause considerable advances in large-scale manufacturing. Symbolic and Mac...
The AI4Robotics pilot experiment aims at demonstrating that the AI4EU Experiment function can be exploited in industrial robotics for testing robot's wear.
